Optimal post-stratification for the study of the sustainability: An application to the monitoring of diversity in Sierra de Guerrero

Sira Allende, Carlos Bouza () and Dante Covarubias

Annals of Operations Research, 2014, vol. 219, issue 1, 317-331

Abstract: The need of designing a monitoring network in Sierra de Guerrero motivated this paper. The study of the effect of deforestation of the forest needs of monitoring in the diversity. A quantitative evaluation of diversity is measured by estimating an index. Commonly the monitoring of biodiversity is based on the periodical selection of samples for evaluating the diversity. We propose to use sample information for determining post strata. They must constitute homogeneous zones in the forest. A stochastic program is developed for determining the post strata to be used for sampling. The procedure seems to be a good alternative with respect to the use of a heuristic procedure. The results presented are based on the data obtained in a research developed at one of the most important forest diversity reservoirs of Mexico Copyright Springer Science+Business Media, LLC 2014

Keywords: Post stratification; Monitoring network; Stochastic programming; Diversity indexes (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s10479-012-1154-x

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